{"id":"W6923543295","doi":"10.14288/hfjc.v12i2","title":"The Health & Fitness Journal of Canada, Vol. 12 No. 2 (2019)","year":2019,"lang":"en","type":"article","venue":"Open Collections","topic":"Sports injuries and prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"MEDLINE; Public health; Selection (genetic algorithm); Government (linguistics); Health care","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006554624,0.0003307472,0.0003726086,0.001770491,0.00440642,0.004026953,0.0008511064,0.001769087,0.2367428],"category_scores_gemma":[0.003480747,0.0003558392,0.0002998664,0.002368337,0.001234043,0.0008037182,0.001208037,0.002007625,0.04743536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01442965,"about_ca_system_score_gemma":0.05736136,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9213401,"about_ca_topic_score_gemma":0.9771352,"domain_scores_codex":[0.9991027,0.00002887124,0.00004546963,0.00005915435,0.0005615412,0.0002021735],"domain_scores_gemma":[0.9938763,0.0001929137,0.0001011565,0.00009208029,0.003979567,0.001757978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001975268,0.00003588614,0.004024943,0.0001265635,0.000004792179,0.0000494441,0.00007839344,0.00003086682,0.0001514336,0.001069708,0.9502187,0.04418936],"study_design_scores_gemma":[0.00001022561,0.00001411079,0.03759903,0.0003815501,0.000008130812,0.0001053353,0.0005203675,0.00009397561,0.0001295416,0.0003593898,0.9607619,0.00001657696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0186338,0.0319097,0.0007502115,0.09100143,0.02794474,0.0002877972,0.03228068,0.0007202525,0.7964715],"genre_scores_gemma":[0.03462095,0.0161919,0.001133094,0.01464461,0.001755075,0.00006043986,0.009406266,0.0001968011,0.9219909],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2367428,"threshold_uncertainty_score":0.7919835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01333239566745415,"score_gpt":0.2897407997456,"score_spread":0.2764084040781459,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}